code: def test_save_load(self):
      a = AutoML(
          results_path=self.automl_dir,
          total_time_limit=10,
          explain_level=0,
          mode="Explain",
          train_ensemble=True,
          start_random_models=1,
      )
  
      X, y = datasets.make_classification(
          n_samples=100,
          n_features=5,
          n_informative=4,
          n_redundant=1,
          n_classes=2,
          n_clusters_per_class=3,
          n_repeated=0,
          shuffle=False,
          random_state=0,
      )
      X = pd.DataFrame(X, columns=[f"f_{i}" for i in range(X.shape[1])])
  
      a.fit(X, y)
      p = a.predict(X)
  
      a2 = AutoML(results_path=self.automl_dir)
      p2 = a2.predict(X)
  
      self.assertTrue((p == p2).all())
  
file_path: mljar-supervised/tests/tests_ensemble/test_save_load.py
imports: import unittest
  import shutil
  import numpy
  import pandas
  from sklearn import datasets
  from supervised import AutoML
label_desc: Use image node_id 2 for calling the EnsembleSaveLoadTest obj's underlying member method code with example usage: obj.test_save_load() without return types